Signal Processing, Telecommunication & Embedded Systems: AI and ML Applications: Proceedings of Tenth International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2025), Volume 3

Author:   Vikrant Bhateja ,  Xin-She Yang ,  Hai Van Pham ,  Zaid Omar
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032203175


Pages:   567
Publication Date:   27 March 2026
Format:   Hardback
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Signal Processing, Telecommunication & Embedded Systems: AI and ML Applications: Proceedings of Tenth International Conference on Microelectronics Electromagnetics and Telecommunications (ICMEET 2025), Volume 3


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Author:   Vikrant Bhateja ,  Xin-She Yang ,  Hai Van Pham ,  Zaid Omar
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032203175


ISBN 10:   3032203171
Pages:   567
Publication Date:   27 March 2026
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

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Vikrant Bhateja is Associate Professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as Head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in ECE (bio-medical imaging) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals, and online book chapter contributions, out of which 40 papers are published in SCIE indexed high impact factored journals. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as Publication/TPC Chair and edited 55 book volumes from Springer-Nature as Corresponding/Co-Editor/Author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP, and other AICTE sponsored FDPs and STTPs.   Xin-She Yang is Reader in modeling and simulation as well as optimization at Middlesex University London, with more than 25 years’ experience in teaching and research. He got his D.Phil. in applied mathematics from Mathematical Institute, University of Oxford, in 1998. He then worked at Cambridge University Engineering Department and later as Senior Research Scientist at Mathematics and Scientific Computing Division of UK’s National Physical Laboratory. He is also Elected Fellow of the Institute of Mathematics and its Applications (2021), Fellow of Asian Computational Intelligence Society (2023), and Fellow of Soft Computing Research Society (2025). He is Co-Editor for Springer’s book series: Springer Tracts in Nature-Inspired Computing and has been on editorial boards of multiple international journals, such as Engineering Applications of Artificial Intelligence (Elsevier) and Journal of Computational Science (Elsevier). He is also Member of the UKRI Talent Peer Review College.   Hai Van Pham received the doctor of engineering (Ph.D.) degree from Ritsumeikan University, Japan. He is currently Associate Professor with the School of Information and Communication Technology, Hanoi University of Science and Technology. He has published over 150 research papers in international journals and conference proceedings in ISI/ Scopus index. He is Senior Expert and conducted research projects in applied AI and industry 4.0. His current research interests include artificial intelligence, fuzzy logics, fuzzy graph, fuzzy knowledge graph, rule-based systems and fuzzy systems, soft computing, machine learning and big data analysis in the trends of digital transformation, and industry 4.0. He served as Member of program, Associate Editor, technical committees for international conferences, and Reviewer for international conferences and journals: IEEE TRANSACTION, IEEE ACCESS, Soft Computing, Engineering applications of Artificial Intelligence and Neural Computing and Applications.   Zaid Omar (Senior Member, IEEE) received the master’s degree in data communications from the University of Sheffield and the Ph.D. degree in electrical engineering from the Imperial College London, in 2012. He is currently Associate Professor with Universiti Teknologi Malaysia. His research interests include computer vision, medical imaging, and image fusion. Dr. Omar was crowned the best science communicator for FameLab Malaysia 2017—one of the biggest science communication competitions in the world organized by British Council.

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